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Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model.

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Title: Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model.
Authors: Ni, Bo1,2, Liu, Zhiyuan2, Cai, Xiantao1, Nappi, Michele3, Wan, Shaohua4, shwanhust@zuel.edu.cn
Source: Neural Computing & Applications; Jul2023, Vol. 35 Issue 20, p14535-14549, 15p
Database: Applied Science & Technology Source
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  Data: Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Jul2023, Vol. 35 Issue 20, p14535-14549, 15p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00521-022-07054-2
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 14535
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      – TitleFull: Segmentation of ultrasound image sequences by combing a novel deep siamese network with a deformable contour model.
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            NameFull: Ni, Bo
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            NameFull: Liu, Zhiyuan
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            NameFull: Cai, Xiantao
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            NameFull: Nappi, Michele
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            NameFull: Wan, Shaohua
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            – D: 15
              M: 07
              Text: Jul2023
              Type: published
              Y: 2023
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              Value: 09410643
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              Value: 35
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              Value: 20
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